Relevance-Feedback-Based WWW Information Retrieval Considering Adatation to User's Behavior

Abstract

The recent growth of information resources on the WWW has led to the increasing need for developing flexible methods of information retrieval. Since the behaviors of users of WWW information retrieval systems naturally reflect the complex hypertext structure of the WWW pages written from various viewpoints, it is desirable that the systems should be able to track various dynamic changes in the intensions of the users. Most of conventional techniques of information retrieval, which typically assume that the users have precise and fixed goals, are not suitable for realizing the desired features for WWW information retrieval systems. In this paper, we propose a new extension to the relevance feedback and demonstrate its adaptability to a wide variety of the behavior of users.